8th International Conference on Communications and Networking in China

Research Article

Cooperative Signal Processing Scheme for Multiple-cell Based on Evidence Theory

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694672,
        author={Ling Qin and Yonghua Li and Zhiqiang He and Jiaru Lin and Yueming Lu},
        title={Cooperative Signal Processing Scheme for Multiple-cell Based on Evidence Theory},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={base-station cooperation; evidence theory; information  fusion},
        doi={10.1109/ChinaCom.2013.6694672}
    }
    
  • Ling Qin
    Yonghua Li
    Zhiqiang He
    Jiaru Lin
    Yueming Lu
    Year: 2013
    Cooperative Signal Processing Scheme for Multiple-cell Based on Evidence Theory
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694672
Ling Qin1,*, Yonghua Li1, Zhiqiang He1, Jiaru Lin1, Yueming Lu1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: qxj1963@163.com

Abstract

Cooperative communication is the key technology for the signal processing, especially for the interference coordination. On the other hand, Dempster-Shafer (D-S) evidence theory is a branch of mathematics, which concerns the combination of some empirical evidence to construct a coherent picture of reality. To coordinate the different signal, base-stations in wireless systems are connected by a backbone network, which can help information exchange through the network between the base-stations. In this paper, we introduce the evidence theory to the problem of joint detection in the cellular cooperation networks. Taking advantage of multiple information sources, more reliable decision statistics can be achieved. Distributed multiuser detection algorithm is proposed with local passing information among neighbor base stations, and the performance is compared in terms of error rate. Simulation results verify that the proposed method outperforms conventional detection algorithms.